Stop guessing. Meet AI that actually knows your data.
The largest e-commerce companies have already connected all their data in a single, unified warehouse — one source of truth — and plugged it directly into AI engines. But we’re not stopping at theory. During this webinar, we ran a live battle test: we checked how Gemini, Claude, and ChatGPT handle the analysis of real e-commerce data. You’ll see which one best understands the specifics of e-commerce and delivers the most actionable business insights.
Why “bare” AI gets lost in your data
Many people claim AI in analytics is just a gadget. We prove they’re wrong — but only if you give the model the right context.
The core problem is the Fact Gap: AI has knowledge from the internet, but zero knowledge about your company. Without your historical data, metric definitions, and business context, even the latest model gets lost in guesswork.
We’ll show you:
- The difference between Reporting Analytics (you search for answers) and Conversational Analytics (AI finds them for you)
- Why uploading a spreadsheet to AI is not enough — without metric definitions, analysis examples, and response structure, even the newest model makes things up
- How the Fact Gap affects the quality of AI responses in practice
Experiment agenda: How do AI models handle your business?
- Reports vs Conversation — Static Reporting Analytics vs Conversational Analytics. The difference between seeing data and understanding causes.
- Why “bare” AI fails — Without metric definitions and business context, even the best model guesses. We prove it live.
- Fact Gap (Knowledge Gap) — The main challenge: AI knows the internet, but nothing about your company. Historical data and context change everything.
- Conversational Analytics in Looker Studio — Is it worth using the tool available in Looker Studio Pro or BigQuery? We test it on real examples.
- The Great Model Showdown — The same business query sent to Claude, ChatGPT, and Gemini via WitCloud MCP. You’ll see live how differently they interpret the same data — and who wins on precision.
- Applications & Costs — Ready scenarios (e.g. margin drop analysis), actual costs, and what to watch out for during implementation so the experiment in your company is safe.
About the speaker
Krzysiek Modrzewski — Poland’s leading expert in analytics and marketing strategy with over 15 years of experience. Co-founder of Witbee and Marketing Masters. Host of the “Od Danych Do Zysku” (From Data to Profit) podcast.
- Practitioner, not theorist: Helps companies transform data chaos into real profits. Co-created educational projects that attracted over 100,000 participants.
- Knows your pain: Has personally gone through the journey from “decision paralysis” to full automation.
- Has a ready solution: Shares the system he built himself to escape “analytics hell.”
You have a choice: Chaos or Control
You can keep basing your decisions on incomplete report data, spending hours manually merging Excel files, and getting frustrated when AI makes up numbers again.
Or you can invest 60 minutes to see:
- ✅ How to safely feed AI with your company’s context — eliminating hallucinations and Fact Gap errors
- ✅ Which model wins in a live showdown (Claude, ChatGPT, or Gemini) analyzing your e-commerce data
- ✅ How to get a ready action plan for a declining ROAS in 15 seconds — instead of clicking through dozens of reports
Harness the power of Conversational Analytics to gain a competitive edge — now.